ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2007.03555
  4. Cited By
Physics-Based Deep Neural Networks for Beam Dynamics in Charged Particle
  Accelerators

Physics-Based Deep Neural Networks for Beam Dynamics in Charged Particle Accelerators

7 July 2020
A. Ivanov
I. Agapov
ArXivPDFHTML

Papers citing "Physics-Based Deep Neural Networks for Beam Dynamics in Charged Particle Accelerators"

3 / 3 papers shown
Title
Physics-constrained 3D Convolutional Neural Networks for Electrodynamics
Physics-constrained 3D Convolutional Neural Networks for Electrodynamics
A. Scheinker
R. Pokharel
32
15
0
31 Jan 2023
Physics-informed neural network method for modelling beam-wall
  interactions
Physics-informed neural network method for modelling beam-wall interactions
K. Fujita
AI4CE
16
5
0
21 Dec 2021
Physics-based Deep Learning
Physics-based Deep Learning
Nils Thuerey
Philipp Holl
P. Holl
Patrick Schnell
Felix Trost
Kiwon Um
P. Schnell
F. Trost
PINN
AI4CE
56
93
0
11 Sep 2021
1